AIMC Topic: Health Equity

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The Promise and Perils of Artificial Intelligence in Advancing Participatory Science and Health Equity in Public Health.

JMIR public health and surveillance
Current societal trends reflect an increased mistrust in science and a lowered civic engagement that threaten to impair research that is foundational for ensuring public health and advancing health equity. One effective countermeasure to these trends...

Advancing health equity: evaluating AI translations of kidney donor information for Spanish speakers.

Frontiers in public health
BACKGROUND: Health equity and access to essential medical information remain significant challenges, especially for the Spanish-speaking Hispanic population, which faces barriers in accessing living kidney donation opportunities. ChatGPT, an AI langu...

Artificial Intelligence and Cancer Health Equity: Bridging the Divide or Widening the Gap.

Current oncology reports
PURPOSE OF REVIEW: This review aims to evaluate the impact of artificial intelligence (AI) on cancer health equity, specifically investigating whether AI is addressing or widening disparities in cancer outcomes.

AI in Biomedicine-A Forward-Looking Perspective on Health Equity.

International journal of environmental research and public health
As new artificial intelligence (AI) tools are being developed and as AI continues to revolutionize healthcare, its potential to advance health equity is increasingly recognized. The 2024 Research Centers in Minority Institutions (RCMI) Consortium Nat...

Flexibility and resilience in equity-centered research: lessons learned conducting a randomized controlled trial of a family-based substance use prevention program for American Indian families.

Frontiers in public health
Meaningful and effective community engagement lies at the core of equity-centered research, which is a powerful tool for addressing health disparities in American Indian (AI) communities. It is essential for centering Indigenous wisdom as a source of...

EDAI Framework for Integrating Equity, Diversity, and Inclusion Throughout the Lifecycle of AI to Improve Health and Oral Health Care: Qualitative Study.

Journal of medical Internet research
BACKGROUND: Recent studies have identified significant gaps in equity, diversity, and inclusion (EDI) considerations within the lifecycle of artificial intelligence (AI), spanning from data collection and problem definition to implementation stages. ...

The bias algorithm: how AI in healthcare exacerbates ethnic and racial disparities - a scoping review.

Ethnicity & health
This scoping review examined racial and ethnic bias in artificial intelligence health algorithms (AIHA), the role of stakeholders in oversight, and the consequences of AIHA for health equity. Using the PRISMA-ScR guidelines, databases were searched b...

Artificial intelligence and the politics of avoidance in global health.

Social science & medicine (1982)
For decades, global health actors have centered technology in their interventions. Today, artificial intelligence (AI) is emerging as the latest technology-based solution in global health. Yet, AI, like other technological interventions, is not a com...

Health Equity and Ethical Considerations in Using Artificial Intelligence in Public Health and Medicine.

Preventing chronic disease
This commentary explores the critical roles of health equity and ethical considerations in the deployment of artificial intelligence (AI) in public health and medicine. As AI increasingly permeates these fields, it promises substantial benefits but a...